activity
20242026
collaborators

5 papers

cs.AI2026

Planning Task Shielding: Detecting and Repairing Flaws in Planning Tasks through Turning them Unsolvable

Alberto Pozanco, Pietro Totis, Marianela Morales +1

Most research in planning focuses on generating a plan to achieve a desired set of goals. However, a goal specification can also be used to encode a property that should never hold…

cs.AI2025

Planning with Minimal Disruption

Alberto Pozanco, Marianela Morales, Daniel Borrajo +1

In many planning applications, we might be interested in finding plans that minimally modify the initial state to achieve the goals. We refer to this concept as plan disruption. In…

cs.AI2025

GenPlanX. Generation of Plans and Execution

Daniel Borrajo, Giuseppe Canonaco, Tomás de la Rosa +10

Classical AI Planning techniques generate sequences of actions for complex tasks. However, they lack the ability to understand planning tasks when provided using natural language.…

cs.AI2025

A Planning Compilation to Reason about Goal Achievement at Planning Time

Alberto Pozanco, Marianela Morales, Daniel Borrajo +1

Identifying the specific actions that achieve goals when solving a planning task might be beneficial for various planning applications. Traditionally, this identification occurs po…

cs.AI2024

On Learning Action Costs from Input Plans

Marianela Morales, Alberto Pozanco, Giuseppe Canonaco +3

Most of the work on learning action models focus on learning the actions' dynamics from input plans. This allows us to specify the valid plans of a planning task. However, very lit…